2 дня назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Generative AI/ML): Designing, developing, and deploying machine-learning and deep-learning solutions, including RAG systems, agentic workflows, and conversational AI agents, with an accent on scalable pipelines, production integration, and model monitoring. Focus on building and fine-tuning LLMs, deploying APIs and microservices, optimizing performance and cost, and addressing drift, bias, fairness, and reliability in production.
Location: Remote within the USA
Company
delivers technology solutions for clients, guided by values of empowerment, leadership, innovation, teamwork, and excellence.
What you will do
- Develop AI and machine-learning models end to end, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring.
- Build generative-AI solutions such as RAG systems, agentic workflows, MCP servers, and conversational AI agents.
- Collaborate with data engineering teams on data pipelines, feature stores, and orchestration frameworks.
- Integrate AI models into production systems through REST APIs, microservices, and cloud deployments.
- Optimize solutions for performance, scalability, robustness, and cost efficiency.
- Work with clients to translate business requirements into AI solutions and communicate results.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of hands-on experience developing and deploying AI/ML models.
- Strong Python skills and experience with TensorFlow, PyTorch, scikit-learn, LangChain, and LangGraph.
- Experience with vector databases, RAG, agentic workflows, and building or fine-tuning LLMs.
- Experience deploying production models with REST APIs, microservices, and monitoring.
- Knowledge of algorithms, data structures, statistics, machine-learning fundamentals, and MLOps tools such as MLflow, Kubeflow, or SageMaker.
Nice to have
- Experience with computer vision, time-series modeling, or multimodal AI.
- Familiarity with Text-to-Speech and Speech-to-Text solutions such as Deepgram, ElevenLabs, or Cartesia.
- Publications, open-source contributions, or personal AI/ML projects.
Culture & Benefits
- Values-driven environment focused on empowerment, leadership, innovation, teamwork, and excellence.
- Equal employment opportunities for applicants and employees from all backgrounds.
- Support is available during the application and interview process.
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